user-context

name	user-context
description	Generate a seller context profile from enriched company + LinkedIn data. Produces a structured "What I Sell / Who I Sell To / Who Am I" summary that other CRM skills can reference. Triggers on: "seller context", "user context", "who am I selling", "generate context", "onboarding context", "crm context".

User Context Summarization

Turn enriched company and personal data into a structured seller context that other CRM skills use as input.

Inputs

The user provides one or more of:

• Their company name or domain
• Their LinkedIn profile URL
• Their Attio workspace context
• Manual overrides for any section

If not provided, attempt to infer from:

• The .env file (company domain patterns in email addresses)
• The Extruct context file at context/extruct_context.md (if it exists)
• Ask the user

Workflow

Step 1: Gather company data

From Extruct context file (preferred)

Check if context/extruct_context.md exists in the repo. If so, read it for:

• Product description, value prop
• ICP definition
• Win cases and proof points
• Voice rules

From web (fallback)

If no local context exists, use web search to research the company.

Step 2: Gather personal data

From LinkedIn (if URL provided)

Use the Extruct Reverse Lookup table (via get_table_data on the Extruct MCP, using the EXTRUCT_REVERSE_LOOKUP_TABLE_ID from .env) or AnySite MCP to pull LinkedIn profile data.

From Attio (MCP)

Use search-records with object = "people" and the user's name or email to find their record. Extract:

• Job title, role
• Email signature patterns
• Communication style (from sent emails via Gmail MCP)

From Gmail (tone analysis)

Call gmail_search_messages with from:me (limit 5) to sample the user's writing tone.

Step 3: Generate the context profile

Produce a structured document with these sections:

# Seller Context

## What I Sell
- **Product:** {one-line description}
- **Category:** {market category}
- **Key capabilities:** {3-5 bullet points}
- **Primary value prop:** {one sentence}
- **Differentiators:** {what makes it different from alternatives}
- **Proof points:** {notable customers, metrics, case studies}

## Who I Sell To
- **ICP:** {ideal customer profile — industry, size, stage}
- **Buyer personas:** {titles and roles that buy}
- **Pain points addressed:** {2-3 core problems solved}
- **Common objections:** {what prospects push back on}
- **Competitors they evaluate:** {who else they look at}

## Who Am I
- **Name:** {full name}
- **Role:** {job title}
- **Company:** {company name}
- **Tone:** {communication style — formal/casual, technical/accessible}
- **Signature style:** {how emails typically end}
- **Relationship approach:** {consultative, transactional, technical advisor}

Step 4: Save and confirm

Save the context profile to revops/seller_context.md.

Ask the user to review and correct any assumptions. Update the file with their edits.

This file is referenced by:

• meeting-followup — for tone matching
• meeting-prep — for understanding what to pitch
• deal-reengagement — for value prop and angle generation
• deal-intelligence — for relationship framing

Environment

Variable	Source	Purpose
Extruct	MCP (https://api.extruct.ai/mcp)	Company and people enrichment
Attio	MCP (Attio connector)	CRM — people records
Gmail	MCP (claude.ai Gmail)	Tone sampling

Reference

• CRM enrichment context: revops/CRM_ENRICHMENT.md